Transformers
K-Dense-AI/scientific-agent-skills
Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.
Process, filter, and transform JSON data using jq - the lightweight and flexible command-line JSON processor.
$ npx skills add penpot/penpot --skill jq-json-processor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install penpot/penpot jq-json-processor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/jq-json-processor .claude/skills/jq-json-processor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jq-json-processor" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processor into .claude/skills/jq-json-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jq-json-processor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add penpot/penpot --skill jq-json-processor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install penpot/penpot jq-json-processor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/jq-json-processor .agents/skills/jq-json-processor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jq-json-processor" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processor into .agents/skills/jq-json-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jq-json-processor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add penpot/penpot --skill jq-json-processor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install penpot/penpot jq-json-processor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/jq-json-processor .cursor/skills/jq-json-processor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jq-json-processor" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processor into .cursor/skills/jq-json-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jq-json-processor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/penpot/penpot.git --path .agents/skills/jq-json-processor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add penpot/penpot --skill jq-json-processor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install penpot/penpot jq-json-processor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/jq-json-processor .gemini/skills/jq-json-processor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jq-json-processor" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processor into .gemini/skills/jq-json-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jq-json-processor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install penpot/penpot jq-json-processorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add penpot/penpot --skill jq-json-processor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/jq-json-processor .github/skills/jq-json-processor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jq-json-processor" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processor into .github/skills/jq-json-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jq-json-processor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add penpot/penpot --skill jq-json-processor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install penpot/penpot jq-json-processor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/penpot/penpot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/jq-json-processor .opencode/skills/jq-json-processor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jq-json-processor" agent skill from https://github.com/penpot/penpot/tree/develop/.agents/skills/jq-json-processor into .opencode/skills/jq-json-processor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jq-json-processor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
jq-json-processorProcess, filter, and transform JSON data using jq - the lightweight and flexible command-line JSON processor.
Jq JSON Processor is an agent skill from penpot/penpot. Process, filter, and transform JSON data using jq - the lightweight and flexible command-line JSON processor.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Penpot: The open-source design platform for Product teams that need scalable collaboration. The licence is MPL-2.0.
Read from SKILL.md and the folder at commit cb1118f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
jqcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.github.comAlso links to:
jqlang.github.iojqplay.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jq JSON Processor loads about 663 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 104 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from penpot/penpot at commit cb1118f, republished under its MPL-2.0 licence (© penpot). 104 words, ~663 tokens.
.claude/skills/jq-json-processor/SKILL.md (or your agent's skills folder).Process, filter, and transform JSON data with jq.
# Extract a field
echo '{"name":"Alice","age":30}' | jq '.name'
# Output: "Alice"
# Multiple fields
echo '{"name":"Alice","age":30}' | jq '{name: .name, age: .age}'
# Array indexing
echo '[1,2,3,4,5]' | jq '.[2]'
# Output: 3# Map over array
echo '[{"name":"Alice"},{"name":"Bob"}]' | jq '.[].name'
# Output: "Alice" "Bob"
# Filter array
echo '[1,2,3,4,5]' | jq 'map(select(. > 2))'
# Output: [3,4,5]
# Length
echo '[1,2,3]' | jq 'length'
# Output: 3# Pretty print JSON
cat file.json | jq '.'
# Compact output
cat file.json | jq -c '.'
# Raw output (no quotes)
echo '{"name":"Alice"}' | jq -r '.name'
# Output: Alice
# Sort keys
echo '{"z":1,"a":2}' | jq -S '.'# Select with conditions
jq '[.[] | select(.age > 25)]' people.json
# Group by
jq 'group_by(.category)' items.json
# Reduce
echo '[1,2,3,4,5]' | jq 'reduce .[] as $item (0; . + $item)'
# Output: 15# Read from file
jq '.users[0].name' users.json
# Multiple files
jq -s '.[0] * .[1]' file1.json file2.json
# Modify and save
jq '.version = "2.0"' package.json > package.json.tmp && mv package.json.tmp package.jsonExtract specific fields from API response:
curl -s https://api.github.com/users/octocat | jq '{name: .name, repos: .public_repos, followers: .followers}'Convert CSV-like data:
jq -r '.[] | [.name, .email, .age] | @csv' users.jsonDebug API responses:
curl -s https://api.example.com/data | jq '.'-r for raw string output (removes quotes)-c for compact output (single line)-S to sort object keys--arg name value to pass variablesjq '.a' | jq '.b'Full manual: https://jqlang.github.io/jq/manual/ Interactive tutorial: https://jqplay.org/
© penpot, MPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/jq-json-processor of penpot/penpot.
Open the folder on GitHubat commit cb1118f
Jq JSON Processor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jq JSON Processor this skillpenpot/penpot | 61k | — | ~663 | Automated safety check: Pass | MPL-2.0 | |
| TransformersK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Filterzalando/skipper | 3.3k | — | ~527 | Automated safety check: Pass | MIT | |
| Hugging Face Transformers Usagedavila7/claude-code-templates | 32k | 12 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Transformers JSsickn33/agentic-awesome-skills | 47k | 1 repos | ~444 | Automated safety check: Pass | Apache-2.0 | |
| Testing Core Processorsmastra-ai/mastra | 29k | — | ~1.1k | Automated safety check: Pass | Custom licence |
K-Dense-AI/scientific-agent-skills
Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks.
zalando/skipper
Create or modify code in the filters package and all its sub-folders
davila7/claude-code-templates
Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets.
sickn33/agentic-awesome-skills
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
mastra-ai/mastra
A skill your agent uses when writing or debugging integration tests for error processors in packages/core/src/processors/.
sickn33/agentic-awesome-skills
Everyday data transformations using functional patterns - arrays, objects, grouping, aggregation, and null-safe access
penpot/penpot
Hardens code against vulnerabilities. An agent skill from penpot/penpot.
penpot/penpot
A cat clone with syntax highlighting, line numbers, and Git integration - a modern replacement for cat.
penpot/penpot
PR flow — open a new PR for the current task branch (validates base branch, commits, issue and push state) or update an existing PR's title or description to match Penpot conventions.
penpot/penpot
Run local CI-style checks with ./scripts/ci (lint, tests, format) per monorepo module.
penpot/penpot
Write or rewrite text in ASD-STE100 Simplified Technical English.
penpot/penpot
Code review criteria — the five review axes, core principles, severity format, and verdict for reviewing code changes.
Process, filter, and transform JSON data using jq - the lightweight and flexible command-line JSON processor. Jq JSON Processor is an agent skill from penpot/penpot. Process, filter, and transform JSON data using jq - the lightweight and flexible command-line JSON processor.
Run `npx skills add penpot/penpot --skill jq-json-processor -a claude-code`. Or copy the skill folder (.agents/skills/jq-json-processor in penpot/penpot) into .claude/skills/jq-json-processor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add penpot/penpot --skill jq-json-processor -a codex`. Or copy the skill folder (.agents/skills/jq-json-processor in penpot/penpot) into .agents/skills/jq-json-processor in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add penpot/penpot --skill jq-json-processor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jq-json-processor, .gemini/skills/jq-json-processor, .github/skills/jq-json-processor and .opencode/skills/jq-json-processor in your project.
Going by SKILL.md and its folder, Jq JSON Processor needs the command-line tools its instructions call (jq and curl).
SKILL.md names 3 domains. In commands or code: api.github.com; the agent is likely to contact it when it follows the instructions. As links in the text: jqlang.github.io and jqplay.org. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Jq JSON Processor is published under the MPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 663 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Jq JSON Processor: Transformers (K-Dense-AI/scientific-agent-skills, 48k stars), Filter (zalando/skipper, 3.3k stars), Hugging Face Transformers Usage (davila7/claude-code-templates, 32k stars) and Transformers JS (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
penpot (a GitHub organization) maintains it in penpot/penpot, which has 60,798 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.
Source: penpot/penpot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.